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Yujin Tang
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2020 – today
- 2024
- [i14]Yuji Roh, Qingyun Liu, Huan Gui, Zhe Yuan, Yujin Tang, Steven Euijong Whang, Liang Liu, Shuchao Bi, Lichan Hong, Ed H. Chi, Zhe Zhao:
LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views. CoRR abs/2402.04644 (2024) - 2023
- [j2]So Kuroki, Tatsuya Matsushima, Jumpei Arima, Hiroki Furuta, Yutaka Matsuo, Shixiang Shane Gu, Yujin Tang:
Collective Intelligence for 2D Push Manipulations With Mobile Robots. IEEE Robotics Autom. Lett. 8(5): 2820-2827 (2023) - [c14]Yujin Tang, Wenhao Yu, Jie Tan, Heiga Zen, Aleksandra Faust, Tatsuya Harada:
SayTap: Language to Quadrupedal Locomotion. CoRL 2023: 3556-3570 - [c13]Shanchuan Wan, Yujin Tang, Yingtao Tian, Tomoyuki Kaneko:
DEIR: Efficient and Robust Exploration through Discriminative-Model-Based Episodic Intrinsic Rewards. IJCAI 2023: 4289-4298 - [c12]Robert Tjarko Lange, Yujin Tang, Yingtao Tian:
NeuroEvoBench: Benchmarking Evolutionary Optimizers for Deep Learning Applications. NeurIPS 2023 - [i13]Shanchuan Wan, Yujin Tang, Yingtao Tian, Tomoyuki Kaneko:
DEIR: Efficient and Robust Exploration through Discriminative-Model-Based Episodic Intrinsic Rewards. CoRR abs/2304.10770 (2023) - [i12]Yujin Tang, Wenhao Yu, Jie Tan, Heiga Zen, Aleksandra Faust, Tatsuya Harada:
SayTap: Language to Quadrupedal Locomotion. CoRR abs/2306.07580 (2023) - [i11]Zeying Gong, Yujin Tang, Junwei Liang:
PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting. CoRR abs/2310.00655 (2023) - [i10]Yujin Tang, Jiaming Zhou, Xiang Pan, Zeying Gong, Junwei Liang:
PostRainBench: A comprehensive benchmark and a new model for precipitation forecasting. CoRR abs/2310.02676 (2023) - [i9]Robert Tjarko Lange, Yujin Tang, Yingtao Tian:
NeuroEvoBench: Benchmarking Evolutionary Optimizers for Deep Learning Applications. CoRR abs/2311.02394 (2023) - 2022
- [c11]Federico Pigozzi, Yujin Tang, Eric Medvet, David Ha:
Evolving modular soft robots without explicit inter-module communication using local self-attention. GECCO 2022: 148-157 - [c10]Yujin Tang, Yingtao Tian, David Ha:
EvoJAX: hardware-accelerated neuroevolution. GECCO Companion 2022: 308-311 - [i8]Yujin Tang, Yingtao Tian, David Ha:
EvoJAX: Hardware-Accelerated Neuroevolution. CoRR abs/2202.05008 (2022) - [i7]Federico Pigozzi, Yujin Tang, Eric Medvet, David Ha:
Evolving Modular Soft Robots without Explicit Inter-Module Communication using Local Self-Attention. CoRR abs/2204.06481 (2022) - [i6]Aleksandar Stanic, Yujin Tang, David Ha, Jürgen Schmidhuber:
Learning to Generalize with Object-centric Agents in the Open World Survival Game Crafter. CoRR abs/2208.03374 (2022) - [i5]So Kuroki, Tatsuya Matsushima, Jumpei Arima, Yutaka Matsuo, Shixiang Shane Gu, Yujin Tang:
Collective Intelligence for Object Manipulation with Mobile Robots. CoRR abs/2211.15136 (2022) - 2021
- [c9]Yujin Tang, David Ha:
The Sensory Neuron as a Transformer: Permutation-Invariant Neural Networks for Reinforcement Learning. NeurIPS 2021: 22574-22587 - [i4]Yujin Tang, David Ha:
The Sensory Neuron as a Transformer: Permutation-Invariant Neural Networks for Reinforcement Learning. CoRR abs/2109.02869 (2021) - [i3]David Ha, Yujin Tang:
Collective Intelligence for Deep Learning: A Survey of Recent Developments. CoRR abs/2111.14377 (2021) - 2020
- [j1]Dinggui Lu, Qianli Tang, Jihua Wei, Fengying He, Yujin Tang:
Application of Micro-CT in the Examination of the Influence of Different Intensities of Exercise on the Injury of Junction of Bone and Tendon. J. Medical Imaging Health Informatics 10(4): 826-831 (2020) - [c8]Yujin Tang, Duong Nguyen, David Ha:
Neuroevolution of self-interpretable agents. GECCO 2020: 414-424 - [c7]Yujin Tang, Jie Tan, Tatsuya Harada:
Learning Agile Locomotion via Adversarial Training. IROS 2020: 6098-6105 - [c6]Cheng Yuan, Yujin Tang, Dahong Qian:
Ovarian Cancer Prediction in Proteomic Data Using Stacked Asymmetric Convolution. MICCAI (2) 2020: 263-271 - [i2]Yujin Tang, Duong Nguyen, David Ha:
Neuroevolution of Self-Interpretable Agents. CoRR abs/2003.08165 (2020) - [i1]Yujin Tang, Jie Tan, Tatsuya Harada:
Learning Agile Locomotion via Adversarial Training. CoRR abs/2008.00603 (2020)
2010 – 2019
- 2018
- [c5]Yujin Tang, Kei Yonekawa, Mori Kurokawa, Shinya Wada, Kiyohito Yoshihara:
Binary Classification of Sequences Possessing Unilateral Common Factor with AMS and APR. PAKDD (3) 2018: 322-334 - 2017
- [c4]Yujin Tang, Shinya Wada, Kiyohito Yoshihara:
Failure Prediction with Adaptive Multi-scale Sampling and Activation Pattern Regularization. ICDM Workshops 2017: 79-86 - [c3]Jianming Wu, Toshiyuki Hagiya, Yujin Tang, Keiichiro Hoashi:
Effects of objective feedback of facial expression recognition during video support chat. MUM 2017: 293-297 - 2016
- [c2]Yujin Tang, Jianfeng Xu, Kazunori Matsumoto, Chihiro Ono:
Sequence-to-Sequence Model with Attention for Time Series Classification. ICDM Workshops 2016: 503-510 - [c1]Yujin Tang, Chihiro Ono:
Detecting Activities of Daily Living from Low Frequency Power Consumption Data. MobiQuitous 2016: 38-46
Coauthor Index
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last updated on 2024-03-03 00:08 CET by the dblp team
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